Abstract: Graph Convolutional Networks (GCNs) have been widely studied for semi-supervised learning tasks. It is known that the graph convolution operations in most of existing GCNs are composed of ...

November’s job report may be distorted as a result of the government shutdown, limiting how much it will influence the Federal Reserve’s next interest rate decision in January. By Ben Casselman and ...

"This is one of the most disturbing things we're seeing," an FBI official said. FBI officials say they are growing increasingly concerned about a loose network of violent predators who befriend ...

European Union regulators are preparing major penalties against X, including a fine that could exceed $1 billion, according to a New York Times report yesterday. The European Commission determined ...

Covid-19 broke the charts. Decades from now, the pandemic will be visible in the historical data of nearly anything measurable today: an unmistakable spike, dip or jolt that officially began for ...

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...

Discover the key types of network traffic and their role in optimizing performance plus real-world examples to see how they impact data flow. Identifying network traffic types is vital because it ...

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by Philip Rathle in his role as ...